# -*- coding: utf-8 -*-
# BSD 3-Clause License
#
# Copyright (c) 2017
# All rights reserved.
# Copyright 2022 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
#   list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice,
#   this list of conditions and the following disclaimer in the documentation
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# * Neither the name of the copyright holder nor the names of its
#   contributors may be used to endorse or promote products derived from
#   this software without specific prior written permission.
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# ==========================================================================
import torch

def create_model(opt):
    if opt.model == 'pix2pixHD':
        from .pix2pixHD_model import Pix2PixHDModel, InferenceModel
        if opt.isTrain:
            model = Pix2PixHDModel()
        else:
            model = InferenceModel()
    else:
    	from .ui_model import UIModel
    	model = UIModel()
    # 模型的迁移工作是在这里，就是在这个model.initialize函数中
    model.initialize(opt)
    if opt.verbose:
        print("model [%s] was created" % (model.name()))

    # 在这里将模型的多卡代码进行注释掉
    # if opt.isTrain and len(opt.gpu_ids) and not opt.fp16:
    #     model = torch.nn.DataParallel(model, device_ids=opt.gpu_ids)

    # 这样返回的模型就是一个模型
    return model
